解读炎症:预测重症监护病房中的脓毒症
Decoding Inflammation: Predicting Sepsis in the ICU.
作者信息
Chandrabhatla Balasubrahmanyam, A V Anitha, Puvvula Lakshmi Sasidhar, Gopal Palepu B
机构信息
Department of Critical Care Medicine, Citizens Specialty Hospital, Hyderabad, IND.
出版信息
Cureus. 2024 Dec 7;16(12):e75256. doi: 10.7759/cureus.75256. eCollection 2024 Dec.
BACKGROUND
Sepsis is a life-threatening condition arising from a dysregulated host response to infection leading to organ dysfunction. Traditional clinical signs are often unreliable for detecting sepsis, necessitating the exploration of more accurate biomarkers. Furthermore, currently, recommended screening scores perform poorly, necessitating more effective biomarkers to identify sepsis. Therefore, in this study, we evaluated the predictive capabilities of six inflammatory biomarkers - C-reactive protein (CRP), red cell distribution width (RDW), neutrophil-lymphocyte ratio (NLR), monocyte distribution width (MDW), mean neutrophil volume (MNV), and mean monocyte volume (MMV) - measured from samples taken for complete blood count (CBC) for the development of sepsis in ICU patients.
METHODS
We conducted a prospective observational study involving ICU patients at a tertiary-care hospital in Hyderabad, India, over a one-year period to primarily assess the predictability of these six biomarkers for sepsis. As a secondary outcome, we also analyzed the predictiveness of the biomarkers with respect to mortality, the need for vasopressors, invasive mechanical ventilation or renal replacement therapy (RRT), the presence of organ failure, and hospital length of stay. Blood samples were collected for CRP and CBC on the first day of admission, from which RDW, NLR, MDW, MNV, and MMV were measured. Demographic data, including Acute Physiology and Chronic Health Evaluation II (APACHE II) and Sequential Organ Failure Assessment (SOFA) scores, clinical progression (recovery or mortality), requirement for vasopressors, invasive mechanical ventilation, RRT, presence of organ failure, and overall length of hospital stay, were documented.
RESULTS
We analyzed data from 84 patients after one patient withdrew consent. The study sample had a mean age of 65.83 years, with 60 (71.4%) patients >60 years of age and a male predominance (n = 50; 59.5%). About 57 (67.85%) patients had three or more comorbidities. About 71 (84.5%) patients met the sepsis-3 criteria. Mean APACHE II and SOFA scores were 18.73 and 5.36, respectively. Primary outcome analysis showed that CRP and MDW were the most sensitive, with sensitivities of 81.75% and 81.7%, respectively, whereas MDW, MNV, and MMV had the highest specificity at 100% each. Correlation analysis revealed that MDW had the best area under the curve (AUC) of 0.932 in predicting sepsis. Multivariate logistic regression identified both MDW and MMV to have a significant positive correlation in the prediction of sepsis. The overall mortality rate was 9.5%. About 82 (97.6%) patients had organ failure, 35 (41.7%) required vasopressors, 20 (23.8%) required invasive mechanical ventilation, 16 (19%) required RRT, and 59 (70.2%) had a hospital stay exceeding five days, with an average length of hospital stay of eight days. No biomarkers showed strong AUC or specificity compared to the SOFA score (0.710, 94.74% specificity in predicting mortality). However, among the six biomarkers, MDW was the most specific (86.84%). A CRP of >65 mg/L was the best indicator for prolonged hospital stay, vasopressor use, and RRT. An MMV of >179 and MDW of >21.86 U were the most sensitive markers for vasopressor requirements.
CONCLUSION
Our findings suggest that easily accessible biomarkers derived from routine CBC tests, particularly MDW and MMV, may serve as valuable tools for early sepsis diagnosis in resource-limited settings.
背景
脓毒症是一种因宿主对感染的反应失调而导致器官功能障碍的危及生命的病症。传统的临床体征在检测脓毒症时往往不可靠,因此需要探索更准确的生物标志物。此外,目前推荐的筛查评分效果不佳,需要更有效的生物标志物来识别脓毒症。因此,在本研究中,我们评估了六种炎症生物标志物——C反应蛋白(CRP)、红细胞分布宽度(RDW)、中性粒细胞与淋巴细胞比值(NLR)、单核细胞分布宽度(MDW)、平均中性粒细胞体积(MNV)和平均单核细胞体积(MMV)——从全血细胞计数(CBC)样本中测得的值对ICU患者发生脓毒症的预测能力。
方法
我们在印度海得拉巴的一家三级医疗医院对ICU患者进行了为期一年的前瞻性观察研究,主要评估这六种生物标志物对脓毒症的预测性。作为次要结果,我们还分析了这些生物标志物对死亡率、使用血管升压药的需求、有创机械通气或肾脏替代治疗(RRT)、器官衰竭的存在情况以及住院时间的预测性。在入院第一天采集血样检测CRP和CBC,并从中测量RDW、NLR、MDW、MNV和MMV。记录人口统计学数据,包括急性生理与慢性健康状况评分系统II(APACHE II)和序贯器官衰竭评估(SOFA)评分、临床进展(康复或死亡)、使用血管升压药的需求、有创机械通气、RRT、器官衰竭的存在情况以及住院总时长。
结果
一名患者撤回同意后,我们分析了84例患者的数据。研究样本的平均年龄为65.83岁,其中60例(71.4%)患者年龄>60岁,男性占优势(n = 50;59.5%)。约57例(67.85%)患者有三种或更多合并症。约71例(84.5%)患者符合脓毒症-3标准。APACHE II和SOFA评分的平均值分别为18.73和5.36。主要结果分析表明,CRP和MDW最敏感,敏感性分别为81.75%和81.7%,而MDW、MNV和MMV的特异性最高,均为100%。相关性分析显示,MDW在预测脓毒症方面的曲线下面积(AUC)最佳,为0.932。多因素逻辑回归分析确定MDW和MMV在脓毒症预测中均具有显著正相关性。总体死亡率为9.5%。约82例(97.6%)患者出现器官衰竭,35例(41.7%)需要使用血管升压药,20例(23.8%)需要有创机械通气,16例(19%)需要RRT,59例(70.2%)患者住院时间超过五天,平均住院时长为八天。与SOFA评分(预测死亡率时AUC为0.710,特异性为94.74%)相比,没有生物标志物显示出强大的AUC或特异性。然而,在这六种生物标志物中,MDW最具特异性(86.84%)。CRP>65 mg/L是住院时间延长、使用血管升压药和RRT的最佳指标。MMV>179和MDW>21.86 U是使用血管升压药需求的最敏感标志物。
结论
我们的研究结果表明,从常规CBC检测中获得的易于获取的生物标志物,特别是MDW和MMV,可能成为资源有限环境下早期脓毒症诊断的有价值工具。
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本文引用的文献
Open Med (Wars). 2023-12-31
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Cureus. 2021-5-13